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neurosynchro

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Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.

Installation

To install this package, run one of the following:

Conda
$conda install conda-forge::neurosynchro

Usage Tracking

0.1.4
0.1.3
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Downloads (Last 6 months): 0

Description

Neurosynchro is a small Python package for creating and using neural networks to quickly approximate the coefficients needed for fully-polarized synchrotron radiative transfer. It builds on the Keras deep learning library.

About

Summary

Train and use neural networks to quickly approximate polarized synchrotron radiative transfer coefficients.

Last Updated

Aug 8, 2018 at 13:53

License

MIT

Supported Platforms

noarch